Analytics-Vidhya-Game-of-Deep-Learning-Hackathon

Contains my experiments for the Game of Deep Learning Hackathon conducted by Analytics Vidhya

Problem statement:

Ship or vessel detection has a wide range of applications, in the areas of maritime safety, fisheries management, marine pollution, defence and maritime security, protection from piracy, illegal migration, etc.

Keeping this in mind, a Governmental Maritime and Coastguard Agency is planning to deploy a computer vision based automated system to identify ship type only from the images taken by the survey boats. You have been hired as a consultant to build an efficient model for this project.

There are 5 classes of ships to be detected which are as follows:

Dataset Description

There are 6252 images in train and 2680 images in test data. The categories of ships and their corresponding codes in the dataset are as follows -

{'Cargo': 1, 
'Military': 2, 
'Carrier': 3, 
'Cruise': 4, 
'Tankers': 5}